Detail publikačního výsledku

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

ŽÁK, L.; VALIŠ, D.; GLOS, J.

Originální název

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

Anglický název

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

The paper is to apply regression analysis methods and fuzzy methods in order to analyze field data with the aim of finding the dependence of Fe particles occurrence on operating time. When comparing the results of both methods/approaches, we can estimate the real operating profile of observed technical systems. The results might be used for optimizing during an operation and maintenance phase.

Anglický abstrakt

The paper is to apply regression analysis methods and fuzzy methods in order to analyze field data with the aim of finding the dependence of Fe particles occurrence on operating time. When comparing the results of both methods/approaches, we can estimate the real operating profile of observed technical systems. The results might be used for optimizing during an operation and maintenance phase.

Klíčová slova

maintenance optimization, tribo-diagnostics, field data, regression analysis, fuzzy logic

Klíčová slova v angličtině

maintenance optimization, tribo-diagnostics, field data, regression analysis, fuzzy logic

Autoři

ŽÁK, L.; VALIŠ, D.; GLOS, J.

Rok RIV

2013

Vydáno

27.06.2012

ISSN

1803-3814

Periodikum

Mendel ...

Svazek

2012

Číslo

1

Stát

Česká republika

Strany od

46

Strany do

51

Strany počet

6

BibTex

@article{BUT99337,
  author="Libor {Žák} and David {Vališ} and Josef {Glos}",
  title="COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA",
  journal="Mendel ...",
  year="2012",
  volume="2012",
  number="1",
  pages="46--51",
  issn="1803-3814"
}